OSN on the senior high school devided into 8 fields mathematic phisics biology chemistry economics geography astronomy and computer. Each school has to sent at least 3 studentsfield to participate this selection on each city so that it will be 24 qualified students. The data will be derived from score of raporand test of academic potensial TPA with 14 object variable. These data are devided into two test training data and testing data choosen random systematically. The data classified based on learning vector quantization LVQ using adaptive learning rate. The result shows the Data semi-Ideal was the accurate data for training data with the criterion total neuron 2.5 x total training data learning rate 0.01 so the classification result has accurancy 81.30 for training data and 79.20 for the testing data.

Keywords:

Pemilihan; OSN; optimasi learning rate; LVQ

Subject

: Matematika dan logika simbolik

Contributor

Mochamad Hariadi, S.T., M.Sc., Ph.D

DR. Surya Sumpeno, S.T., M.Sc.

Date Create

: 28/01/2013

Type

: Text

Format

: pdf

Language

: Indonesian

Identifier

: ITS-Master-22103140001152

Collection ID

: 22103140001152

Call Number

: RTE 511.3 Puj k

SourceMaster Theses of Electrical Engineering, RTE 511.3 Puj k, 2014

CoverageITS Community

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